Pattern Classification of Medical Images: Computer Aided Diagnosis [E-Book] / by Xiao-Xia Yin, Sillas Hadjiloucas, Yanchun Zhang.
This book presents advances in biomedical imaging analysis and processing techniques using time dependent medical image datasets for computer aided diagnosis. The analysis of time-series images is one of the most widely appearing problems in science, engineering, and business. In recent years this p...
Saved in:
Full text |
|
Personal Name(s): | Yin, Xiao-Xia, author |
Hadjiloucas, Sillas, author / Zhang, Yanchun, author | |
Imprint: |
Cham :
Springer International Publishing,
2017
|
Physical Description: |
XIV, 218 p. 87 illus., 67 illus. in color. online resource. |
Note: |
englisch |
ISBN: |
9783319570273 |
DOI: |
10.1007/978-3-319-57027-3 |
Series Title: |
/* Depending on the record driver, $field may either be an array with
"name" and "number" keys or a flat string containing only the series
name. We should account for both cases to maximize compatibility. */?>
Health Information Science
|
Subject (ZB): | |
Subject (LOC): | |
Classification: |
- 1 Introduction and Motivation for Conducting Medical Image Analysis
- 2 Overview of clinical applications using THz pulse imaging, MRI, OCT and fundus imaging
- 3 Recent Advances in Medical Data Preprocessing and Feature Extraction Techniques
- 4 Pattern Classification
- 5 Introduction to MRI Time Series Image Analysis Techniques
- 6 Outlook for Clifford Algebra Based Feature and Deep Learning AI Architectures
- 7 Concluding remarks.